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The Class-E with finite feed inductance is a high-efficiency power amplifier that generally uses complex, long, and iterative design procedures. In this paper, we detail a design methodology that is based on an analytical model of this amplifier. This methodology explores the power amplifier design by the use of a symbolic mathematical tool, which was developed in the software Maple™. This approach helps to understand the Class-E circuit topology and it offers a fast and easy design procedure without having to examine, in-depth, the model analytical equations.

In recent years, plasticulture, which is broadly defined as the use of plastics in agriculture, including greenhouse, tunnels and plastic mulch has become a fast-growing production system. While in the 1970s, the system was used on 2.8 M ha worldwide, the area had grown to 38 M ha in 1996/97 and is still increasing at a rapid rate: In Asia and Africa, the use of plastic greenhouses is growing by 15-30% per year. Therefore, plasticulture is expected to rise in many agrarian countries such as Mexico. Nonetheless, there are negative effects of plasticulture, that need to be correctly addressed in order to have responsible rural landscape management. Ergo our study attempts, through cloud geoprocessing of Sentinel-2 imagery, to rapidly provide a reliable and updated high-resolution map of protected agriculture that employs plastics (mostly tunnels and greenhouses). This map can be used as a basis for a protected agriculture monitoring system in Mexico, and eventually help to effectively plan the upcoming rural development, e.g. by providing input for territorial planning, showing the municipal rural practice trends, and monitoring the markets and its economic impacts. ARTICLE HISTORY

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Desde hace décadas se están produciendo imágenes satelitales para el mundo entero. Sin embargo, ha habido un rezago tecnológico que ha impedido poder analizar la extensa cantidad de información satelital disponible. Hasta fechas recientes la mayoría de los estudios se enfocaban en regiones relativamente reducidas y periodos cortos. No obstante, el potencial de estas imágenes permite afrontar problemas a escalas globales y abarcar periodos largos. Google Earth Engine es una herramienta innovadora, que permite realizar análisis geoespaciales usando procesamiento y acervos de datos en la nube. De este modo, se convierte en una opción interesante para solucionar el rezago tecnológico, y así poder examinar las grandes bases de imágenes satelitales.